Technologies and services towards smart-vehicles and Intelligent-Transportation-Systems
(ITS), continues to revolutionize many aspects of human life. This paper presents a detailed …

Automatic License Plate Recognition (ALPR) has been a frequent topic of research due to
many practical applications. However, many of the current solutions are still not robust in …

In this paper, we tackle the problem of car license plate detection and recognition in natural
scene images. We propose a unified deep neural network, which can localize license plates …

This paper presents a novel convolutional neural network (CNN)-based method for high-
accuracy real-time car license plate detection. Many contemporary methods for car license …

This paper presents a robust and efficient method for license plate detection with the
purpose of accurately localizing vehicle license plates from complex scenes in real time. A …

Automated license plate recognition (ALPR) is essential in several roadway imaging
applications. For ALPR systems deployed in the United States, variation between …

This paper presents a vehicle license plate recognition method based on character-specific
extremal regions (ERs) and hybrid discriminative restricted Boltzmann machines (HDRBMs) …

Images captured in hazy environments need to be processed to increase their contrast and
colour integrity. Dehazing, sometimes referred to as haze removal is an important pre …

In this paper, we propose a nonintrusive video-based system for vehicle speed
measurement in urban roadways. Our system uses an optimized motion detector and a …

The process of detecting vehicles' license plates, along with recognizing the characters
inside them, has always been a challenging issue due to various conditions. These …